The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Andreas Moshovos sits on this spectrum.
This scientist: 142 publications — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Andreas Moshovos sits on this spectrum.
This scientist: 47 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Andreas Moshovos is affiliated with the University of Toronto in Canada and primarily works in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Molecular Biology, and Electrical and Electronic Engineering.
The main topics covered in Andreas Moshovos's research include Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, CCD and CMOS Imaging Sensors, Advanced Optical Sensing Technologies, Stochastic Gradient Optimization Techniques, Topic Modeling, and Photoacoustic and Ultrasonic Imaging.
Their publication record features contributions to multiple venues, predominantly arXiv (Cornell University), as well as the IEEE Journal of Solid-State Circuits, the 2022 IEEE Symposium on VLSI Technology and Circuits, and AHFE International. Recent papers authored or coauthored by Andreas Moshovos include:
Andreas Moshovos has collaborated frequently with several coauthors, including Ali Hadi Zadeh, Ameer Abdelhadi, Omar Mohamed Awad, Rahul Gulve, and Navid Sarhangnejad.
In recognition of their work, Andreas Moshovos has received several awards and honors. These include being named an IEEE Fellow in 2021 for contributions to out-of-order processor microarchitecture and multiprocessor memory systems, an ACM Fellow in 2017 for contributions to high-performance architecture including memory dependence prediction and snooping coherence, and an ACM Senior Member since 2011.
Jorge Albericio;Patrick Judd;Tayler Hetherington;Tor Aamodt
Henry Wong;Misel-Myrto Papadopoulou;Maryam Sadooghi-Alvandi;Andreas Moshovos
Amir Roth;Andreas Moshovos;Gurindar S. Sohi
Zhi Alex Ye;Andreas Moshovos;Scott Hauck;Prithviraj Banerjee
Andreas Moshovos;Scott E. Breach;T. N. Vijaykumar;Gurindar S. Sohi
Patrick Judd;Jorge Albericio;Tayler Hetherington;Tor M. Aamodt
Stephen Somogyi;Thomas F. Wenisch;Anastassia Ailamaki;Babak Falsafi
N. Azizi;F.N. Najm;A. Moshovos
A. Moshovos;G. Memik;B. Falsafi;A. Choudhary
Jorge Albericio;Alberto Delmas;Patrick Judd;Sayeh Sharify
Andreas Moshovos
Andreas Moshovos;Gurindar S. Sohi
Jason Zebchuk;Moinuddin K. Qureshi;Vijayalakshmi Srinivasan;Andreas Moshovos
Ali Hadi Zadeh;Isak Edo;Omar Mohamed Awad;Andreas Moshovos
Thomas F. Wenisch;Anastasia Ailamaki;Babak Falsafi;Andreas Moshovos
Joshua San Miguel;Jorge Albericio;Andreas Moshovos;Natalie Enright Jerger
Andreas Moshovos;Dionisios N. Pnevmatikatos;Amirali Baniasadi
C.F. Chen;S.-H. Yang;B. Falsafi;A. Moshovos
Andreas I. Moshovos;Scott E. Breach;Terani N. Vijaykumar;Gurindar S. Sohi
Amirali Baniasadi;Andreas Moshovos
Navid Azizi;Andreas Moshovos;Farid N. Najm
Patrick Judd;Jorge Albericio;Andreas Moshovos
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